OpenClaw with Microsoft 365 and Agent 365

The OpenClaw + Microsoft Ecosystem in 2026

OpenClaw is an open-source AI agent framework that runs locally or in Docker containers. It is not a Microsoft product. However, starting in 2026 Microsoft began treating OpenClaw as a first-class citizen in its Windows and enterprise AI tooling — building integrations at several layers of the stack rather than creating a competing agent framework from scratch.

The result is a set of Microsoft-side surfaces where an OpenClaw agent can operate: the Agent 365 management plane, the Teams messaging platform, a Windows sandboxing layer, and the Azure AI Foundry integration layer. In every case, the underlying agent is still the open-source OpenClaw runtime — Microsoft provides the enterprise plumbing around it.

This guide explains what each integration does. For exact configuration steps, refer to Microsoft's official documentation, as the specifics of enterprise product surfaces change frequently.

What Microsoft Agent 365 Does with OpenClaw

Microsoft Agent 365 is Microsoft’s management and orchestration plane for AI agents, announced by Microsoft and rolled out through its Frontier early-access program. According to Microsoft, it lets IT administrators discover, deploy, and govern AI agents running on Windows devices across an organisation.

Microsoft has stated that Agent 365 can manage local OpenClaw agents running on Windows devices. In practice this means:

• An IT admin can see OpenClaw agent instances registered on managed Windows machines from the Agent 365 console, without SSHing into each device.
• Policy controls in Agent 365 — such as restricting which external services an agent can reach — apply to OpenClaw agents alongside other managed agents.
• Deployment of a new OpenClaw agent to a fleet of Windows machines can be orchestrated through the Agent 365 provisioning workflow rather than through manual installation.

Agent 365 is an enterprise product and is included with Microsoft 365 enterprise plans. For exact setup steps, see Microsoft's Agent 365 documentation on the Microsoft Learn portal.

OpenClaw in Microsoft Teams

Microsoft built a Teams plugin for OpenClaw, allowing an OpenClaw agent to be surfaced as a bot inside a Teams workspace. This is broadly similar to how OpenClaw connects to Telegram or Discord — Teams becomes another messaging channel that the agent listens on and responds through.

For organisations already running Microsoft Teams as their primary communication platform, this means colleagues can interact with an OpenClaw agent directly inside Teams conversations without leaving the tool they already use. The agent's intelligence and skills come from the OpenClaw runtime; Teams provides the conversation interface.

The Teams plugin is a Microsoft-published integration. For installation and configuration details, refer to Microsoft's official Teams app documentation and the plugin listing in the Teams App Store.

The Windows Sandboxing Layer

Microsoft built a Windows sandboxing layer specifically for running OpenClaw agents. Sandboxing in this context means the agent process runs in an isolated environment where it can use local tools — a browser, a file system, code execution — without those operations having unrestricted access to the host machine.

This is meaningful for enterprise deployments where an agent might be given computer-use capabilities or access to local files. The sandbox limits the blast radius if an agent behaves unexpectedly, and gives IT and security teams a boundary they can audit. According to Microsoft, this layer integrates with Windows security policies, so existing device management rules can govern what a sandboxed OpenClaw agent is allowed to do.

For individual users on personal Windows machines, the sandboxing layer is less relevant — it is primarily a feature for managed enterprise devices. See the OpenClaw on Windows guide and the Windows Companion guide for more on running OpenClaw on Windows generally.

Running OpenClaw via Azure and Microsoft Foundry

Microsoft Foundry is Microsoft's name for the Azure AI platform layer that lets developers build, deploy, and connect AI systems. Microsoft has published OpenClaw integration guides on Microsoft Foundry, meaning there is an official path for running OpenClaw agents inside the Azure cloud rather than on a local machine or self-hosted server.

What this enables:

• Deploying an OpenClaw agent into an Azure-hosted container, with Azure managing the infrastructure, networking, and scaling.
• Connecting the agent to other Azure services — Azure storage, Azure cognitive services, enterprise data sources — using Azure's existing access control and identity model.
• Using Azure's monitoring and logging stack for observability, rather than managing logs on a separate server.

For teams already running workloads in Azure, this is a natural path. For everyone else, it adds Azure account setup and ongoing cloud costs on top of OpenClaw itself. For exact steps, consult the OpenClaw section of the Microsoft Foundry documentation on Microsoft Learn.

Do You Even Need Microsoft 365 for This?

The integrations above are useful if you are inside a Microsoft 365 enterprise environment where IT manages your devices, Teams is your communication platform, and Azure is your cloud. In that context, they give OpenClaw a polished path into existing enterprise workflows.

Outside that context — individual users, small teams, developers, or anyone not on a managed Microsoft 365 plan — none of these integrations are necessary to run a capable OpenClaw agent.

OpenClaw is open-source and runs anywhere. You can self-host it on any Linux or Windows server, connect it to Telegram, Discord, WhatsApp, or a web interface, give it skills and tools, and use it with any AI model — without an Azure account, an Agent 365 subscription, or a Teams workspace.